Published June 25, 2025 | Version v1
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Python code for generating a network with growing lines

Authors/Creators

  • 1. CEA Saclay

Description

Python code for the generation of a minimal, spatially embedded model that captures this line-based growth, where lines evolve greedily to maximize local coverage over a set of randomly distributed points. Growth is constrained
by angular deviation and enforced intersection with the existing network, transforming crossings into
topological nodes. 

Files

model_graph_generation.ipynb

Files (224.2 kB)

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